scholarly journals THE ANALYSIS OF CHANCES OF YOUNG AND MIDDLE-AGED PEOPLE FOR HAVING A JOB USING BAYESIAN LOGISTIC REGRESSION MODEL

2017 ◽  
Vol 18 (1) ◽  
pp. 27-37
Author(s):  
Wioletta Grzenda
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Middle Aged ◽  
Aged People ◽  
Bayesian Logistic Regression

Evaluation of the financial condition of companies after the announcement of arrangement bankruptcy: application of the classical and Bayesian logistic regression

2020 ◽  
Vol 67 (1) ◽  
pp. 5-32
Author(s):  
Barbara Pawełek ◽  
Jadwiga Kostrzewska ◽  
Maciej Kostrzewski ◽  
Krzysztof Gałuszka
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Construction Industry ◽  
Bayesian Approach ◽  
Logistic Regression Model ◽  
Likelihood Method ◽  
Logistic Regression Models ◽  
Financial Condition ◽  
Bayesian Logistic Regression ◽  
The Bayesian Approach

The aim of this paper is to present the results of an assessment of the financial condition of companies from the construction industry after the announcement of arrangement bankruptcy, in comparison to the condition of healthy companies. The logistic regression model estimated by means of the maximum likelihood method and the Bayesian approach were used. The first achievement of our study is the assessment of the financial condition of companies from the construction industry after the announcement of bankruptcy. The second achievement is the application of an approach combining the classical and Bayesian logistic regression models to assess the financial condition of companies in the years following the declaration of bankruptcy, and the presentation of the benefits of such a combination. The analysis described in the paper, carried out in most part by means of the ML logistic regression model, was supplemented with information yielded by the application of the Bayesian approach. In particular, the analysis of the shape of the posterior distribution of the repeat bankruptcy probability makes it possible, in some cases, to observe that the financial condition of a company is not clear, despite clear assessments made on the basis of the point estimations.

scholarly journals Individual and Combined Effect of Famine Exposure and Obesity Parameters on Dyslipidemia in Mid-Aged and Older Adult: A Population-Based Cross-Sectional Study

2021 ◽  
Author(s):  
Lin Zhang ◽  
Liu Yang ◽  
Congzhi Wang ◽  
Ting Yuan ◽  
Dongmei Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Longitudinal Study ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Exposed Group ◽  
Middle Aged ◽  
Multivariable Logistic Regression Model ◽  
Chi Square ◽  
Famine Exposure ◽  
Older Chinese

Abstract Background: Undernutrition in early life may have a lifelong effect on adult health. The associations between undernutrition and obesity parameters and dyslipidemia were inconsistent. The present study aimed to investigate the individual and combined effects of famine exposure and obesity parameters on dyslipidemia in middle-aged and older Chinese.Method: Data were selected from the China Health and Retirement Longitudinal Study Wave2011. The analytic sample included 9427 subjects aged 45 to 90. The present study analyzed data from 9427 middle-aged and older Chinese selected from the China Health and Retirement Longitudinal Study (CHARLS Wave2011). Differences between baseline characteristics and famine exposure/BMI levels/WC levels were evaluated using the Chi-square test, t-test, and F-test. Then, the difference in the prevalence of dyslipidemia between characteristic groups was also estimated by the Chi-square and t-test. Finally, multivariable-adjusted logistic regression models examined associations of famine exposure and obesity parameters with odds of prevalence of dyslipidemia.Results: Among the 9427 participants, 1097(11.64%) participants had been exposed to the Chinese famine during the fetal stage, whereas 3763(39.92%) participants and 3251(34.49%) participants had been exposed to the famine during childhood and adolescence/adult stage, respectively. Regarding the participants with BMI measurements,2771(29.39%) were overweight and 1105(11.72%) were obese, whereas 3955(41.95%) of the participants with WC measurements were obese, respectively. Furthermore, 1899(43.23%) reported having dyslipidemia in males and 1860(36.95%) in females. In multivariable-adjusted model, famine exposure and obesity parameters were associated with prevalence of dyslipidemia independently in total populations[(1) Model three c, famine exposure with prevalence of dyslipidemia: the fatal exposed vs no exposed group, 1.32 (95% CI 1.12, 1.56); childhood-exposed vs no exposed group, 1.49 (95% CI 1.30, 1.70); the adolescence/adult-exposed vs no exposed group, 1.49 (95%CI 1.30, 1.71) ; P for trend=0.000; (2) Model three e, famine exposure with prevalence of dyslipidemia: the fatal exposed vs no exposed group, 1.29 (95% CI 1 .09, 1.52); childhood-exposed vs no exposed group, 1.39 (95% CI 1.22, 1.59); the adolescence/adult-exposed vs no exposed group, 1.27 (95%CI 1.11, 1.46) ; P for trend=0.002; (3) Model three g, BMI levels with prevalence of dyslipidemia: overweight vs normal, 2.06 (95%CI 1.86, 2.27); obesity vs normal, 2.82(95% CI 2.42, 3.27); P for trend=0.000; (4) WC levels with prevalence of dyslipidemia: overweight vs normal, 2.24 (95% CI 2.05, 2.45)]. When stratified by sex, the results in females were mostly similar to those in the total population. In a multivariable logistic regression model three c, associations between famine exposure and dyslipidemia were not observed [fatal exposed group vs non-exposed group: 0.98 (95% CI 0.75, 1.28); childhood-exposed group vs non-exposed group: 0.96 (95% CI 0.78, 1.19); adolescence/adult exposed group vs non-exposed group: 0.86 (95% CI 0.69, 1.07)] independently of BMI only (P for trend =0.110). However, in a multivariable logistic regression model three e, associations between famine exposure and dyslipidemia in male were partly observed [fatal exposed group vs non-exposed group: 0.97 (95% CI 0.74, 1.26); childhood-exposed group vs non-exposed group: 0.91 (95% CI 0.74, 1.13); adolescence/adult exposed group vs non-exposed group: 0.73 (95% CI 0.59, 0.91)] independently of BMI only (P for trend =0.001). In general, the significant synergism between famine exposure and obesity parameters in lowering the prevalence of dyslipidemia was observed in males while the significant synergism in increasing prevalence of dyslipidemia was observed in females (P-interaction =0.000).Conclusion: Individual and combined associations of obesity parameters and famine exposure with the prevalence of dyslipidemia were observed in middle-aged and elderly Chinese.

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